CAJ | 학술논문

在并行工程的实施过程中,上下游阶段交叠形式的不合理安排将会给产品的开发带来不可预见的风险.如何决定各并行阶段的启动时间一直是困扰实施并行工程企业的问题.对于这方面的研究工作目前大多只限于概念模型分析的层面,而没有具体的数学模型.文中应用 Shannon信息熵量化了上下游阶段的交互信息和系统的有序度,建立了基于多层次模糊综合评判和BP神经网络的动态模型来实时确定下游阶段的启动时间.最后给出了基于PDM的实施框架和该模型的应用实例.
재병행공정적실시과정중,상하유계단교첩형식적불합리안배장회급산품적개발대래불가예견적풍험.여하결정각병행계단적계동시간일직시곤우실시병행공정기업적문제.대우저방면적연구공작목전대다지한우개념모형분석적층면,이몰유구체적수학모형.문중응용 Shannon신식적양화료상하유계단적교호신식화계통적유서도,건립료기우다층차모호종합평판화BP신경망락적동태모형래실시학정하유계단적계동시간.최후급출료기우PDM적실시광가화해모형적응용실례.
Implementation of simultaneous execution phases in the concurrent engineering (CE) needs careful planning when the downstream phase could be activated as the upstream phase developed to a certain point. The determination of startup time of overlapping jobs in CE has long been a disturbance in manufacturing industry implementing CE programs. A novel model based on both fuzzy logic and neural network is proposed to mathematically formulate the inter-connective information between the two coupled phases in CE projects, and to determine the startup time of downstream phases in real time. The information transferring between the two coupled phases is quantified by using the negative Shannon entropy. Based on this algorithm, a PDM-based framework is proposed to narrow the gap between pro-duct design and manufacture, in which five modules are built to monitor, reshuffle and implement the simultaneous executing processes. Finally, an example is given to illustrate applications of the algorithm in the real world.